Displaying 6 results from an estimated 6 matches for "1699l".
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1699
2011 Aug 06
2
Gamma distribution parameter estimation
Hey,
I have a set of income data which I'd like to fit to a gamma
distribution. How can I estimate the two parameters of the gamma
distribution for a vector, e.g.
c(2039L, 2088L, 5966L, 2353L, 1966L, 2312L, 3305L, 2013L, 3376L,
3363L, 3567L, 4798L, 2032L, 1699L, 3001L, 2329L, 3944L, 2568L,
1699L, 4545L)
I sense this will be a very easy one-liner, but my searching didn't come
up with results yet.
Thanks in advance,
Alex
2018 Jun 01
0
Regroup and create new dataframe
...", "Target", "Target",
"3M", "3M", "3M", "3M", "3M", "Avery", "Avery", "Avery", "Avery",
"Avery"), Sales = c(1915L, 1937L, 1285L, 1828L, 1639L, 1517L,
1732L, 1133L, 1652L, 1699L, 1453L, 1711L, 1924L, 1252L, 1456L
), Region = c("North", "North", "North", "North", "North", "South",
"South", "South", "South", "South", "West", "West", "West", "...
2018 Jun 01
0
Regroup and create new dataframe
...", "Target", "Target",
"3M", "3M", "3M", "3M", "3M", "Avery", "Avery", "Avery", "Avery",
"Avery"), Sales = c(1915L, 1937L, 1285L, 1828L, 1639L, 1517L,
1732L, 1133L, 1652L, 1699L, 1453L, 1711L, 1924L, 1252L, 1456L
), Region = c("North", "North", "North", "North", "North", "South",
"South", "South", "South", "South", "West", "West", "West", "...
2010 Jan 12
2
optimization challenge
...(908L, 879L, 1067L, 1262L, 761L,
202L, 992L, 1221L, 259L, 924L, 1315L, 860L, 1899L, 1284L, 1488L,
1618L, 2523L, 1217L, 1292L, 698L, 945L, 1506L, 1543L, 1460L,
1170L, 1300L, 1169L, 895L, 405L, 812L, 2388L, 966L, 338L, 647L,
587L, 203L, 857L, 370L, 687L, 570L, 587L, 928L, 520L, 134L, 587L,
891L, 1699L, 1483L, 1461L, 1240L, 804L, 708L, 988L, 426L, 647L,
719L, 1365L, 619L, 929L, 3758L, 511L, 1242L, 1160L, 734L, 1398L,
857L, 966L, 2112L, 1117L, 1605L, 740L, 309L, 1555L, 938L, 864L,
957L, 1271L, 1291L, 1073L, 391L, 1056L, 560L, 650L, 1382L, 978L,
963L, 1328L, 620L, 1186L, 954L, 837L, 1200L, 1601...
2018 Jun 01
4
Regroup and create new dataframe
Hello folks,
I have a big project to work on and the dataset is classified so I am just
going to use my own example so everyone can understand what I am targeting.
Let's take Target as an example: We consider three brands of tape: Target
brand, 3M and Avery. The original data frame has 4 columns: Year of Record,
Product_Name(which contains three brands of tape), Sales, and Region. I
want to
2012 Jul 10
2
estimation of NA by predict command
...3901L, 104L,
236L, 368L, 500L, 632L, 764L, 896L, 1028L, 1160L, 1292L, 1424L,
1556L, 1688L, 1820L, 1952L, 2084L, 2216L, 2348L, 2480L, 2612L,
2744L, 2876L, 3008L, 3140L, 3272L, 3404L, 3536L, 3668L, 3791L,
3912L, 4000L, 115L, 247L, 379L, 511L, 643L, 775L, 907L, 1039L,
1171L, 1303L, 1435L, 1567L, 1699L, 1831L, 1963L, 2095L, 2227L,
2359L, 2491L, 2623L, 2755L, 2887L, 3019L, 3151L, 3283L, 3415L,
3547L, 3679L, 3802L, 3923L, 126L, 258L, 390L, 522L, 654L, 786L,
918L, 1050L, 1182L, 1314L, 1446L, 1578L, 1710L, 1842L, 1974L,
2106L, 2238L, 2370L, 2502L, 2634L, 2766L, 2898L, 3030L, 3162L,
3294L, 3426L,...